Research

Publications

Gate Set Tomography
Erik Nielsen, John King Gamble, Kenneth Rudinger, Travis L. Scholten, Kevin Young, Robin Blume-Kohout
arXiv:2009.07301

Application-Motivated, Holistic Benchmarking of a Full Quantum Computing Stack
Daniel Mills, Seyon Sivarajah, Travis L. Scholten, and Ross Duncan
arXiv:2006.01273

Classifying Single-Qubit Noise Using Machine Learning
Travis L Scholten, Yi-Kai Liu, Kevin Young,and Robin Blume-Kohout
arXiv:1908.11762

Towards Scalable Characterization of Noisy, Intermediate-Scale Quantum Information Processors
Travis L. Scholten
https://digitalrepository.unm.edu/phyc_etds/205/

Behavior of the Maximum Likelihood in Quantum State Tomography
Travis L Scholten and Robin Blume-Kohout
New Journal of Physics, 20 023050 (2018)
DOI:10.1088/1367-2630/aaa7e2
arXiv:1609.04385
GitHub repository

Recent Presentations

Below are some recent talks I have given. If possible, I have provided links to a screencast or video. At the very least I strive to provide a copy of the slide deck used. More talks are available on the presentations page.

Posters

Below are links to various posters I have given. Available in pdf form.

2018 Southwest Quantum Information and Technology Workshop: High-Accuracy Classification of Single-Qubit Noise via Machine Learning

2017 Southwest Quantum Information and Technology Workshop: An Effective State-Space Dimension for A Quantum System

2015 Southwest Quantum Information and Technology Workshop: Lost in (Hilbert) Space - Model Selection for Quantum Tomography